<html><body>

<h2>K-means debug output</h2>

<p>These results were obtained using the k-means algorithm with the provided labor dataset,<br>
containing 57 rows and 16 attributes (not including the row indexes or the last output attribute).<br>
The following method was used to compute distances:</p>

<img src="distance.png">

<h3>Using non-normalized data</h3>
<pre>
Centroid 0 = 1, 5, ?, ?, ?, 40, ?, ?, 2, ?, 11, 'average', ?, ?, 'yes', ?
Centroid 1 = 2, 4.5, 5.8, ?, ?, 35, 'ret_allw', ?, ?, 'yes', 11, 'below_average', ?, 'full', ?, 'full'
Centroid 2 = ?, ?, ?, ?, ?, 38, 'empl_contr', ?, 5, ?, 11, 'generous', 'yes', 'half', 'yes', 'half'
Centroid 3 = 3, 3.7, 4, 5, 'tc', ?, ?, ?, ?, 'yes', ?, ?, ?, ?, 'yes', ?
Centroid 4 = 3, 4.5, 4.5, 5, ?, 40, ?, ?, ?, ?, 12, 'average', ?, 'half', 'yes', 'half'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=0, 1=1, 2=2, 3=3, 4=4, 5=3, 6=4, 7=0, 8=3, 9=2, 
    10=3, 11=3, 12=3, 13=3, 14=1, 15=2, 16=1, 17=3, 18=2, 19=3, 
    20=2, 21=3, 22=3, 23=3, 24=2, 25=2, 26=1, 27=3, 28=2, 29=3, 
    30=4, 31=2, 32=2, 33=0, 34=3, 35=2, 36=3, 37=2, 38=2, 39=4, 
    40=0, 41=2, 42=2, 43=3, 44=3, 45=0, 46=4, 47=2, 48=2, 49=0, 
    50=2, 51=2, 52=3, 53=4, 54=2, 55=4, 56=1, 
Sum squared-distance of each row with its centroid=793.01
Recomputing the centroids of each cluster...
Centroid 0 = 1.83333, 5.01667, 4.575, 2.3, 'none', 40, 'none', ?, 2.5, 'no', 10.8333, 'below_average', 'no', 'none', 'yes', 'none'
Centroid 1 = 1.8, 4.16, 5.43333, 4, 'none', 35.25, 'ret_allw', ?, 8.66667, 'yes', 10.6, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 2.05263, 3.67895, 3.38, 2.16667, 'none', 38.3333, 'empl_contr', 8.5, 4.44444, 'no', 10.7222, 'average', 'yes', 'half', 'yes', 'full'
Centroid 3 = 2.26316, 3.22105, 3.93529, 4.31667, 'tcf', 37.1667, 'none', 6.6, 5, 'yes', 11.5294, 'below_average', 'no', 'half', 'yes', 'full'
Centroid 4 = 2.71429, 4.42857, 4.35714, 5, 'none', 40, 'empl_contr', ?, 5, 'no', 11.5714, 'average', 'yes', 'half', 'yes', 'half'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=0, 1=1, 2=2, 3=3, 4=4, 5=3, 6=4, 7=0, 8=1, 9=0, 
    10=3, 11=4, 12=0, 13=3, 14=1, 15=2, 16=3, 17=0, 18=3, 19=1, 
    20=3, 21=2, 22=1, 23=2, 24=0, 25=2, 26=1, 27=1, 28=2, 29=3, 
    30=4, 31=2, 32=2, 33=0, 34=0, 35=2, 36=0, 37=0, 38=2, 39=4, 
    40=0, 41=2, 42=2, 43=2, 44=0, 45=0, 46=4, 47=2, 48=4, 49=4, 
    50=0, 51=3, 52=3, 53=4, 54=4, 55=4, 56=1, 
Sum squared-distance of each row with its centroid=1149.94
Even though the SSE did not improve, we will not detect convergence until at least 3 "burn-in" iterations have been performed.
Recomputing the centroids of each cluster...
Centroid 0 = 1.64286, 4.25, 4.22857, 2.2, 'none', 39.6667, 'none', 3.6, 2.41667, 'no', 10.2857, 'below_average', 'no', 'half', 'yes', 'none'
Centroid 1 = 2.125, 3.9375, 5.04286, 4.3, 'tcf', 34.1429, 'ret_allw', 12.5, 13.5, 'yes', 11.2857, 'generous', 'yes', 'full', 'yes', 'full'
Centroid 2 = 2.23077, 3.04615, 3.00769, 2.16667, 'none', 38.7143, 'empl_contr', ?, 4.75, 'no', 10.7692, 'below_average', 'yes', 'half', 'yes', 'full'
Centroid 3 = 2.4, 2.93, 3.55, 4.8, 'tcf', 36.125, 'none', ?, 3.8, 'yes', 12, 'generous', 'yes', 'full', 'yes', 'full'
Centroid 4 = 2.54545, 4.82727, 4.57273, 5, 'none', 39.4, 'empl_contr', 12, 5, 'no', 11.7273, 'average', 'yes', 'full', 'yes', 'full'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=0, 1=1, 2=2, 3=3, 4=4, 5=3, 6=4, 7=0, 8=1, 9=4, 
    10=3, 11=4, 12=0, 13=3, 14=1, 15=4, 16=3, 17=0, 18=2, 19=3, 
    20=4, 21=2, 22=1, 23=0, 24=2, 25=2, 26=1, 27=1, 28=4, 29=3, 
    30=4, 31=2, 32=2, 33=0, 34=0, 35=2, 36=0, 37=2, 38=2, 39=4, 
    40=0, 41=2, 42=2, 43=2, 44=0, 45=0, 46=4, 47=4, 48=2, 49=4, 
    50=4, 51=3, 52=3, 53=4, 54=4, 55=4, 56=1, 
Sum squared-distance of each row with its centroid=904.222
Recomputing the centroids of each cluster...
Centroid 0 = 1.81818, 3.86364, 4.04286, 2.2, 'none', 40, 'none', 2.66667, 2.3, 'no', 10.3636, 'below_average', 'no', 'half', 'yes', 'none'
Centroid 1 = 2.14286, 3.92857, 5.05, 4.3, 'none', 34, 'ret_allw', 12, 16.3333, 'yes', 10.6667, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 2, 2.83077, 2.7, 2.16667, 'none', 38.7143, 'none', 8, 4.2, 'no', 10.5714, 'below_average', 'yes', 'half', 'yes', 'full'
Centroid 3 = 2.55556, 3, 3.625, 4.8, 'tcf', 35.4286, 'none', 13, 4, 'yes', 12.5714, 'generous', 'yes', 'half', 'yes', 'full'
Centroid 4 = 2.3125, 4.95, 4.54, 5, 'none', 39, 'empl_contr', 10, 4.75, 'no', 11.6, 'average', 'yes', 'full', 'yes', 'full'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=0, 1=1, 2=2, 3=3, 4=4, 5=3, 6=4, 7=0, 8=1, 9=4, 
    10=3, 11=4, 12=0, 13=3, 14=3, 15=4, 16=3, 17=0, 18=2, 19=3, 
    20=4, 21=2, 22=1, 23=0, 24=2, 25=2, 26=1, 27=3, 28=4, 29=3, 
    30=4, 31=2, 32=2, 33=0, 34=0, 35=2, 36=0, 37=0, 38=2, 39=4, 
    40=0, 41=2, 42=2, 43=2, 44=0, 45=0, 46=4, 47=4, 48=3, 49=4, 
    50=4, 51=3, 52=3, 53=4, 54=4, 55=4, 56=1, 
Sum squared-distance of each row with its centroid=854.653
Recomputing the centroids of each cluster...
Centroid 0 = 1.75, 3.775, 4.04286, 2.2, 'none', 39.8182, 'none', 2.5, 2.36364, 'no', 10.25, 'below_average', 'no', 'half', 'yes', 'none'
Centroid 1 = 2.4, 4.3, 5.46, 4.3, 'tcf', 33.75, 'ret_allw', 12, 19.5, 'yes', 10.25, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 2.09091, 2.63636, 2.5, 2.16667, 'none', 38.8333, 'none', 8, 4.33333, 'yes', 10.6667, 'average', 'yes', 'none', 'yes', 'full'
Centroid 3 = 2.33333, 3.16667, 3.65, 4.8, 'none', 35.5, 'none', 13.5, 5, 'yes', 12.2, 'generous', 'yes', 'half', 'yes', 'full'
Centroid 4 = 2.3125, 4.95, 4.54, 5, 'none', 39, 'empl_contr', 10, 4.75, 'no', 11.6, 'average', 'yes', 'full', 'yes', 'full'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=0, 1=1, 2=4, 3=3, 4=4, 5=3, 6=4, 7=0, 8=1, 9=4, 
    10=3, 11=4, 12=0, 13=3, 14=3, 15=4, 16=3, 17=0, 18=2, 19=3, 
    20=4, 21=2, 22=1, 23=0, 24=4, 25=2, 26=1, 27=3, 28=4, 29=3, 
    30=4, 31=2, 32=2, 33=0, 34=0, 35=2, 36=0, 37=0, 38=2, 39=4, 
    40=0, 41=2, 42=2, 43=2, 44=0, 45=0, 46=4, 47=4, 48=3, 49=4, 
    50=4, 51=3, 52=3, 53=4, 54=4, 55=4, 56=1, 
Sum squared-distance of each row with its centroid=815.973
Recomputing the centroids of each cluster...
Centroid 0 = 1.75, 3.775, 4.04286, 2.2, 'none', 39.8182, 'none', 2.5, 2.36364, 'no', 10.25, 'below_average', 'no', 'half', 'yes', 'none'
Centroid 1 = 2.4, 4.3, 5.46, 4.3, 'tcf', 33.75, 'ret_allw', 12, 19.5, 'yes', 10.25, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 2.2, 2.3, 2.5, 2.16667, 'none', 39, 'none', ?, 5, 'yes', 10.8, 'average', 'yes', 'none', 'yes', 'full'
Centroid 3 = 2.33333, 3.16667, 3.65, 4.8, 'none', 35.5, 'none', 13.5, 5, 'yes', 12.2, 'generous', 'yes', 'half', 'yes', 'full'
Centroid 4 = 2.23529, 5.01176, 4.54, 5, 'none', 38.875, 'empl_contr', 9, 4.6, 'no', 11.4118, 'average', 'yes', 'full', 'yes', 'half'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=0, 1=1, 2=4, 3=3, 4=4, 5=3, 6=4, 7=0, 8=1, 9=4, 
    10=3, 11=4, 12=0, 13=3, 14=3, 15=4, 16=3, 17=0, 18=2, 19=3, 
    20=4, 21=2, 22=1, 23=0, 24=4, 25=2, 26=1, 27=3, 28=4, 29=3, 
    30=4, 31=2, 32=2, 33=0, 34=0, 35=2, 36=0, 37=0, 38=2, 39=4, 
    40=0, 41=2, 42=2, 43=2, 44=0, 45=0, 46=4, 47=4, 48=3, 49=4, 
    50=4, 51=2, 52=3, 53=4, 54=4, 55=4, 56=1, 
Sum squared-distance of each row with its centroid=810.331
Recomputing the centroids of each cluster...
Centroid 0 = 1.75, 3.775, 4.04286, 2.2, 'none', 39.8182, 'none', 2.5, 2.36364, 'no', 10.25, 'below_average', 'no', 'half', 'yes', 'none'
Centroid 1 = 2.4, 4.3, 5.46, 4.3, 'tcf', 33.75, 'ret_allw', 12, 19.5, 'yes', 10.25, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 2.27273, 2.27273, 2.55, 2.16667, 'none', 39, 'none', ?, 5, 'yes', 10.8, 'average', 'yes', 'none', 'yes', 'full'
Centroid 3 = 2.27273, 3.27273, 3.72222, 4.8, 'none', 35.5, 'none', 13.5, 5, 'yes', 12.2, 'generous', 'yes', 'full', 'yes', 'full'
Centroid 4 = 2.23529, 5.01176, 4.54, 5, 'none', 38.875, 'empl_contr', 9, 4.6, 'no', 11.4118, 'average', 'yes', 'full', 'yes', 'half'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=0, 1=1, 2=4, 3=3, 4=4, 5=3, 6=4, 7=0, 8=1, 9=4, 
    10=3, 11=4, 12=0, 13=3, 14=3, 15=4, 16=3, 17=0, 18=2, 19=3, 
    20=4, 21=2, 22=1, 23=0, 24=4, 25=2, 26=1, 27=3, 28=4, 29=3, 
    30=4, 31=2, 32=2, 33=0, 34=0, 35=2, 36=0, 37=0, 38=2, 39=4, 
    40=0, 41=2, 42=2, 43=2, 44=0, 45=0, 46=4, 47=4, 48=3, 49=4, 
    50=4, 51=2, 52=3, 53=4, 54=4, 55=4, 56=1, 
Sum squared-distance of each row with its centroid=809.028
Recomputing the centroids of each cluster...
Centroid 0 = 1.75, 3.775, 4.04286, 2.2, 'none', 39.8182, 'none', 2.5, 2.36364, 'no', 10.25, 'below_average', 'no', 'half', 'yes', 'none'
Centroid 1 = 2.4, 4.3, 5.46, 4.3, 'tcf', 33.75, 'ret_allw', 12, 19.5, 'yes', 10.25, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 2.27273, 2.27273, 2.55, 2.16667, 'none', 39, 'none', ?, 5, 'yes', 10.8, 'average', 'yes', 'none', 'yes', 'full'
Centroid 3 = 2.27273, 3.27273, 3.72222, 4.8, 'none', 35.5, 'none', 13.5, 5, 'yes', 12.2, 'generous', 'yes', 'full', 'yes', 'full'
Centroid 4 = 2.23529, 5.01176, 4.54, 5, 'none', 38.875, 'empl_contr', 9, 4.6, 'no', 11.4118, 'average', 'yes', 'full', 'yes', 'half'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=0, 1=1, 2=4, 3=3, 4=4, 5=3, 6=4, 7=0, 8=1, 9=4, 
    10=3, 11=4, 12=0, 13=3, 14=3, 15=4, 16=3, 17=0, 18=2, 19=3, 
    20=4, 21=2, 22=1, 23=0, 24=4, 25=2, 26=1, 27=3, 28=4, 29=3, 
    30=4, 31=2, 32=2, 33=0, 34=0, 35=2, 36=0, 37=0, 38=2, 39=4, 
    40=0, 41=2, 42=2, 43=2, 44=0, 45=0, 46=4, 47=4, 48=3, 49=4, 
    50=4, 51=2, 52=3, 53=4, 54=4, 55=4, 56=1, 
Sum squared-distance of each row with its centroid=809.028
Convergence is detected because the sum squared-distance did not improve, and more than 3 iterations were performed
</pre>

<h3>Using data in which real attributes have been normalized to fall from 0 to 1</h3>

<pre>
Centroid 0 = 0, 0.6, ?, ?, ?, 1, ?, ?, 0.08, ?, 0.333333, 'average', ?, ?, 'yes', ?
Centroid 1 = 0.5, 0.5, 0.76, ?, ?, 0.615385, 'ret_allw', ?, ?, 'yes', 0.333333, 'below_average', ?, 'full', ?, 'full'
Centroid 2 = ?, ?, ?, ?, ?, 0.846154, 'empl_contr', ?, 0.2, ?, 0.333333, 'generous', 'yes', 'half', 'yes', 'half'
Centroid 3 = 1, 0.34, 0.4, 0.967742, 'tc', ?, ?, ?, ?, 'yes', ?, ?, ?, ?, 'yes', ?
Centroid 4 = 1, 0.5, 0.5, 0.967742, ?, 1, ?, ?, ?, ?, 0.5, 'average', ?, 'half', 'yes', 'half'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=0, 1=1, 2=2, 3=3, 4=4, 5=1, 6=4, 7=1, 8=1, 9=2, 
    10=4, 11=1, 12=4, 13=4, 14=0, 15=4, 16=0, 17=1, 18=0, 19=1, 
    20=1, 21=1, 22=3, 23=1, 24=0, 25=4, 26=1, 27=1, 28=1, 29=4, 
    30=4, 31=4, 32=4, 33=1, 34=4, 35=4, 36=0, 37=2, 38=4, 39=4, 
    40=0, 41=1, 42=4, 43=4, 44=1, 45=4, 46=0, 47=4, 48=1, 49=1, 
    50=1, 51=3, 52=4, 53=1, 54=2, 55=4, 56=1, 
Sum squared-distance of each row with its centroid=552.591
Recomputing the centroids of each cluster...
Centroid 0 = 0.0625, 0.3325, 0.4, ?, 'none', 0.857143, 'none', 0.333333, 0.146667, 'yes', 0.3125, 'average', 'no', 'none', 'no', 'none'
Centroid 1 = 0.547619, 0.460952, 0.502, 0.370968, 'none', 0.838057, 'none', 0.6875, 0.257143, 'yes', 0.373016, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 0.333333, 0.5, 0.48, ?, 'none', 0.884615, 'empl_contr', 0.333333, 0.18, 'no', 0.25, 'generous', 'yes', 'half', 'yes', 'none'
Centroid 3 = 1, 0.213333, 0.333333, 0.903226, 'tcf', 0, 'empl_contr', ?, ?, 'yes', ?, ?, 'yes', 'half', 'yes', ?
Centroid 4 = 0.785714, 0.272381, 0.29619, 0.609971, 'none', 0.892308, 'none', 0, 0.12, 'no', 0.358333, 'average', 'yes', 'half', 'yes', 'full'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=4, 1=1, 2=2, 3=3, 4=4, 5=0, 6=2, 7=1, 8=1, 9=2, 
    10=4, 11=1, 12=2, 13=1, 14=2, 15=1, 16=1, 17=2, 18=0, 19=2, 
    20=1, 21=1, 22=3, 23=2, 24=2, 25=4, 26=1, 27=1, 28=1, 29=4, 
    30=4, 31=4, 32=4, 33=0, 34=4, 35=4, 36=0, 37=2, 38=4, 39=1, 
    40=0, 41=1, 42=4, 43=1, 44=0, 45=2, 46=1, 47=2, 48=1, 49=1, 
    50=1, 51=3, 52=4, 53=4, 54=2, 55=4, 56=1, 
Sum squared-distance of each row with its centroid=413.189
Recomputing the centroids of each cluster...
Centroid 0 = 0.25, 0.2, 0.366667, ?, 'none', 0.892308, 'none', 0.166667, 0.12, 'yes', 0.305556, 'average', 'no', 'none', 'no', 'none'
Centroid 1 = 0.55, 0.481, 0.496842, 0.580645, 'none', 0.824786, 'none', 0.916667, 0.272727, 'yes', 0.408333, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 0.375, 0.428333, 0.485714, 0.967742, 'none', 0.878205, 'empl_contr', 0.416667, 0.170909, 'no', 0.277778, 'generous', 'yes', 'half', 'yes', 'half'
Centroid 3 = 1, 0.213333, 0.333333, 0.903226, 'tcf', 0, 'empl_contr', ?, ?, 'yes', ?, ?, 'yes', 'half', 'yes', ?
Centroid 4 = 0.833333, 0.24, 0.228571, 0.526882, 'none', 0.897436, 'none', 0, 0.136, 'no', 0.344444, 'average', 'yes', 'half', 'yes', 'full'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=4, 1=1, 2=2, 3=3, 4=4, 5=0, 6=2, 7=1, 8=1, 9=2, 
    10=4, 11=1, 12=2, 13=1, 14=2, 15=1, 16=1, 17=2, 18=0, 19=2, 
    20=1, 21=1, 22=3, 23=2, 24=2, 25=4, 26=1, 27=1, 28=1, 29=4, 
    30=4, 31=4, 32=0, 33=0, 34=4, 35=4, 36=0, 37=2, 38=4, 39=1, 
    40=0, 41=1, 42=4, 43=1, 44=0, 45=2, 46=1, 47=2, 48=1, 49=1, 
    50=1, 51=3, 52=4, 53=4, 54=2, 55=2, 56=1, 
Sum squared-distance of each row with its centroid=408.204
Recomputing the centroids of each cluster...
Centroid 0 = 0.285714, 0.185714, 0.3, ?, 'none', 0.884615, 'none', 0.166667, 0.12, 'yes', 0.285714, 'average', 'no', 'none', 'no', 'none'
Centroid 1 = 0.55, 0.481, 0.496842, 0.580645, 'none', 0.824786, 'none', 0.916667, 0.272727, 'yes', 0.408333, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 0.423077, 0.441538, 0.5, 0.967742, 'none', 0.887574, 'empl_contr', 0.416667, 0.170909, 'no', 0.294872, 'generous', 'yes', 'half', 'yes', 'half'
Centroid 3 = 1, 0.213333, 0.333333, 0.903226, 'tcf', 0, 'empl_contr', ?, ?, 'yes', ?, ?, 'yes', 'half', 'yes', ?
Centroid 4 = 0.846154, 0.223077, 0.208333, 0.471774, 'none', 0.893491, 'none', 0, 0.136, 'no', 0.346154, 'average', 'yes', 'half', 'yes', 'full'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=4, 1=1, 2=2, 3=3, 4=2, 5=0, 6=2, 7=1, 8=1, 9=2, 
    10=4, 11=1, 12=2, 13=1, 14=2, 15=1, 16=1, 17=2, 18=0, 19=2, 
    20=1, 21=1, 22=3, 23=2, 24=2, 25=4, 26=1, 27=1, 28=1, 29=4, 
    30=4, 31=4, 32=0, 33=0, 34=4, 35=4, 36=0, 37=2, 38=4, 39=1, 
    40=0, 41=1, 42=4, 43=1, 44=0, 45=2, 46=1, 47=2, 48=1, 49=1, 
    50=1, 51=3, 52=4, 53=4, 54=2, 55=2, 56=1, 
Sum squared-distance of each row with its centroid=408.023
Recomputing the centroids of each cluster...
Centroid 0 = 0.285714, 0.185714, 0.3, ?, 'none', 0.884615, 'none', 0.166667, 0.12, 'yes', 0.285714, 'average', 'no', 'none', 'no', 'none'
Centroid 1 = 0.55, 0.481, 0.496842, 0.580645, 'none', 0.824786, 'none', 0.916667, 0.272727, 'yes', 0.408333, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 0.464286, 0.445714, 0.5, 0.967742, 'none', 0.895604, 'empl_contr', 0.416667, 0.170909, 'no', 0.309524, 'generous', 'yes', 'half', 'yes', 'half'
Centroid 3 = 1, 0.213333, 0.333333, 0.903226, 'tcf', 0, 'empl_contr', ?, ?, 'yes', ?, ?, 'yes', 'half', 'yes', ?
Centroid 4 = 0.833333, 0.2, 0.181818, 0.400922, 'none', 0.884615, 'none', 0, 0.136, 'no', 0.333333, 'average', 'yes', 'half', 'yes', 'full'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=4, 1=1, 2=2, 3=3, 4=2, 5=0, 6=2, 7=1, 8=1, 9=2, 
    10=1, 11=1, 12=2, 13=1, 14=2, 15=1, 16=1, 17=2, 18=0, 19=2, 
    20=1, 21=1, 22=3, 23=2, 24=2, 25=4, 26=1, 27=1, 28=1, 29=4, 
    30=4, 31=4, 32=0, 33=0, 34=4, 35=4, 36=0, 37=2, 38=4, 39=2, 
    40=0, 41=2, 42=4, 43=1, 44=0, 45=2, 46=1, 47=2, 48=1, 49=1, 
    50=1, 51=3, 52=1, 53=4, 54=2, 55=2, 56=1, 
Sum squared-distance of each row with its centroid=407.903
Recomputing the centroids of each cluster...
Centroid 0 = 0.285714, 0.185714, 0.3, ?, 'none', 0.884615, 'none', 0.166667, 0.12, 'yes', 0.285714, 'average', 'no', 'none', 'no', 'none'
Centroid 1 = 0.6, 0.486, 0.507368, 0.677419, 'none', 0.794872, 'none', 0.916667, 0.269091, 'yes', 0.425, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 0.46875, 0.42125, 0.463636, 0.967742, 'none', 0.899038, 'empl_contr', 0.416667, 0.17, 'no', 0.333333, 'generous', 'yes', 'half', 'yes', 'half'
Centroid 3 = 1, 0.213333, 0.333333, 0.903226, 'tcf', 0, 'empl_contr', ?, ?, 'yes', ?, ?, 'yes', 'half', 'yes', ?
Centroid 4 = 0.8, 0.18, 0.133333, 0.232258, 'none', 0.930769, 'none', 0, 0.14, 'no', 0.266667, 'average', 'yes', 'half', 'yes', 'full'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=4, 1=1, 2=2, 3=3, 4=2, 5=0, 6=2, 7=1, 8=1, 9=2, 
    10=1, 11=1, 12=2, 13=1, 14=2, 15=2, 16=1, 17=2, 18=0, 19=2, 
    20=1, 21=1, 22=3, 23=2, 24=2, 25=4, 26=1, 27=1, 28=1, 29=4, 
    30=4, 31=4, 32=0, 33=0, 34=4, 35=4, 36=0, 37=2, 38=4, 39=2, 
    40=0, 41=2, 42=4, 43=1, 44=0, 45=2, 46=1, 47=2, 48=1, 49=1, 
    50=1, 51=3, 52=1, 53=4, 54=2, 55=2, 56=1, 
Sum squared-distance of each row with its centroid=407.501
Recomputing the centroids of each cluster...
Centroid 0 = 0.285714, 0.185714, 0.3, ?, 'none', 0.884615, 'none', 0.166667, 0.12, 'yes', 0.285714, 'average', 'no', 'none', 'no', 'none'
Centroid 1 = 0.605263, 0.485263, 0.513333, 0.677419, 'none', 0.79638, 'none', 0.916667, 0.269091, 'yes', 0.429825, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 0.470588, 0.425882, 0.458333, 0.967742, 'none', 0.891403, 'empl_contr', 0.416667, 0.17, 'no', 0.333333, 'generous', 'yes', 'half', 'yes', 'half'
Centroid 3 = 1, 0.213333, 0.333333, 0.903226, 'tcf', 0, 'empl_contr', ?, ?, 'yes', ?, ?, 'yes', 'half', 'yes', ?
Centroid 4 = 0.8, 0.18, 0.133333, 0.232258, 'none', 0.930769, 'none', 0, 0.14, 'no', 0.266667, 'average', 'yes', 'half', 'yes', 'full'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=4, 1=1, 2=2, 3=3, 4=2, 5=0, 6=2, 7=1, 8=1, 9=2, 
    10=1, 11=1, 12=2, 13=1, 14=2, 15=2, 16=1, 17=2, 18=0, 19=2, 
    20=1, 21=1, 22=3, 23=2, 24=2, 25=4, 26=1, 27=1, 28=1, 29=4, 
    30=4, 31=4, 32=0, 33=0, 34=4, 35=4, 36=0, 37=2, 38=4, 39=2, 
    40=0, 41=2, 42=4, 43=1, 44=0, 45=2, 46=1, 47=2, 48=1, 49=1, 
    50=1, 51=3, 52=1, 53=4, 54=2, 55=2, 56=1, 
Sum squared-distance of each row with its centroid=407.497
Recomputing the centroids of each cluster...
Centroid 0 = 0.285714, 0.185714, 0.3, ?, 'none', 0.884615, 'none', 0.166667, 0.12, 'yes', 0.285714, 'average', 'no', 'none', 'no', 'none'
Centroid 1 = 0.605263, 0.485263, 0.513333, 0.677419, 'none', 0.79638, 'none', 0.916667, 0.269091, 'yes', 0.429825, 'below_average', 'yes', 'full', 'yes', 'full'
Centroid 2 = 0.470588, 0.425882, 0.458333, 0.967742, 'none', 0.891403, 'empl_contr', 0.416667, 0.17, 'no', 0.333333, 'generous', 'yes', 'half', 'yes', 'half'
Centroid 3 = 1, 0.213333, 0.333333, 0.903226, 'tcf', 0, 'empl_contr', ?, ?, 'yes', ?, ?, 'yes', 'half', 'yes', ?
Centroid 4 = 0.8, 0.18, 0.133333, 0.232258, 'none', 0.930769, 'none', 0, 0.14, 'no', 0.266667, 'average', 'yes', 'half', 'yes', 'full'
Assigning each row to the cluster of the nearest centroid...
The cluster assignments are:
    0=4, 1=1, 2=2, 3=3, 4=2, 5=0, 6=2, 7=1, 8=1, 9=2, 
    10=1, 11=1, 12=2, 13=1, 14=2, 15=2, 16=1, 17=2, 18=0, 19=2, 
    20=1, 21=1, 22=3, 23=2, 24=2, 25=4, 26=1, 27=1, 28=1, 29=4, 
    30=4, 31=4, 32=0, 33=0, 34=4, 35=4, 36=0, 37=2, 38=4, 39=2, 
    40=0, 41=2, 42=4, 43=1, 44=0, 45=2, 46=1, 47=2, 48=1, 49=1, 
    50=1, 51=3, 52=1, 53=4, 54=2, 55=2, 56=1, 
Sum squared-distance of each row with its centroid=407.497
Convergence is detected because the sum squared-distance did not improve, and more than 3 iterations were performed
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